Abstract
Key points:
Repeated latent class analysis (LCA) was used to identify the distinct latent ageing trajectories of older Australian women.
The cohort underwent repeated assessments over a period of 20 years with surveys investigating measures of successful ageing.
LCA identified a six-class model, with the classes characterised by the presence of disease and disability, and longevity.
There were a large number of sociodemographic and lifestyle factors independently associated with class membership.
LCA might allow targeted, cost-effective, intervention strategies to prevent disease and disability.
Repeated latent class analysis (LCA) was used to identify the distinct latent ageing trajectories of older Australian women.
The cohort underwent repeated assessments over a period of 20 years with surveys investigating measures of successful ageing.
LCA identified a six-class model, with the classes characterised by the presence of disease and disability, and longevity.
There were a large number of sociodemographic and lifestyle factors independently associated with class membership.
LCA might allow targeted, cost-effective, intervention strategies to prevent disease and disability.
| Original language | English |
|---|---|
| Pages (from-to) | 783-784 |
| Number of pages | 2 |
| Journal | Age and Ageing |
| Volume | 48 |
| Issue number | 6 |
| DOIs | |
| Publication status | E-pub ahead of print - 1 Nov 2019 |
Keywords
- latent class analysis
- longitudinal studies
- older people
- successful ageing